Chenping Hou

Orcid: 0000-0002-9335-0469

According to our database¹, Chenping Hou authored at least 95 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Deep Learning for Visual Speech Analysis: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Learning With Incremental Instances and Features.

[BibT_eX]

[DOI]

Shilin Gu

Yuhua Qian

Chenping Hou

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multi-Instance Learning with One Side Label Noise.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, June, 2024

Constrained clustering with weak label prior.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., June, 2024

Absent Multiview Semisupervised Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., March, 2024

Feature incremental learning with causality.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Compound Weakly Supervised Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Online imbalance learning with unpredictable feature evolution and label scarcity.

[BibT_eX]

[DOI]

Jiahang Tu

Shilin Gu

Chenping Hou

Neurocomputing, 2024

Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture.

[BibT_eX]

[DOI]

CoRR, 2024

An adaptive energy-based sequential method for training PINNs to solve gradient flow equations.

[BibT_eX]

[DOI]

Jia Guo

Haifeng Wang

Chenping Hou

Appl. Math. Comput., 2024

Imbalanced Multi-instance Multi-label Learning via Coding Ensemble and Adaptive Thresholds.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Label Shift Correction via Bidirectional Marginal Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Online Learning With Incremental Feature Space and Bandit Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Incremental Learning for Simultaneous Augmentation of Feature and Class.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Imbalanced Clustering With Theoretical Learning Bounds.

[BibT_eX]

[DOI]

Jing Zhang

Hong Tao

Chenping Hou

IEEE Trans. Knowl. Data Eng., September, 2023

Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Adaptive Feature Selection With Augmented Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Active label distribution learning via kernel maximum mean discrepancy.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., August, 2023

Semi-Supervised Learning With Label Proportion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Incomplete Multi-View Learning Under Label Shift.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Label Distribution Changing Learning with Sample Space Expanding.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

2022

Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Incremental Feature Spaces Learning with Label Scarcity.

[BibT_eX]

[DOI]

Shilin Gu

Yuhua Qian

Chenping Hou

ACM Trans. Knowl. Discov. Data, 2022

Safe incomplete label distribution learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multi-instance positive and unlabeled learning with bi-level embedding.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks.

[BibT_eX]

[DOI]

Jia Guo

Haifeng Wang

Chenping Hou

CoRR, 2022

2021

Fragmentary Multi-Instance Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Fragmentary label distribution learning via graph regularized maximum entropy criteria.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Incomplete multi-view learning via half-quadratic minimization.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Active label distribution learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multiple Instance Learning for Unilateral Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Latent Complete Row Space Recovery for Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Multiview Classification With Cohesion and Diversity.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multi-view subspace learning via bidirectional sparsity.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Joint consensus and diversity for multi-view semi-supervised classification.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Semi-supervised multi-label feature learning via label enlarged discriminant analysis.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Randomized multi-label subproblems concatenation via error correcting output codes.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Multi-View Spectral Clustering With Incomplete Graphs.

[BibT_eX]

[DOI]

IEEE Access, 2020

Optimal Representative Distribution Margin Machine for Multi-Instance Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Full Representation Data Embedding via Nonoverlapping Historical Features.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Safe Classification with Augmented Features.

[BibT_eX]

[DOI]

Chenping Hou

Ling-Li Zeng

Dewen Hu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Active learning with error-correcting output codes.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Co-learning binary classifiers for LP-based multi-label classification.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2019

Recursive Maximum Margin Active Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

Multi-label Active Learning with Error Correcting Output Codes.

[BibT_eX]

[DOI]

Ningzhao Sun

Jincheng Shan

Chenping Hou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Compact Partial Differential Equations for Color Images with Efficiency.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

One-Pass Learning with Incremental and Decremental Features.

[BibT_eX]

[DOI]

Chenping Hou

Zhi-Hua Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning sparse partial differential equations for vector-valued images.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Partial multi-view spectral clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Incomplete Multi-view Clustering via Structured Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Co-learning Binary Classifiers for LP-Based Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2018

Low Rank Multi-Label Classification with Missing Labels.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Reliable Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

2D Feature Selection by Sparse Matrix Regression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Secure Classification With Augmented Features.

[BibT_eX]

[DOI]

Chenping Hou

Ling-Li Zeng

Dewen Hu

CoRR, 2017

Multi-view Clustering with Adaptively Learned Graph.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Effective Discriminative Feature Selection With Nontrivial Solution.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Discriminative orthogonal elastic preserving projections for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Unsupervised feature extraction using a learned graph with clustering structure.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Semi-Supervised Multi-label Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Discriminative Vanishing Component Analysis.

[BibT_eX]

[DOI]

Chenping Hou

Feiping Nie

Dacheng Tao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Effective Discriminative Feature Selection with Non-trivial Solutions.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Multiple rank multi-linear SVM for matrix data classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Learning high-dimensional correspondence via manifold learning and local approximation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

2013

Efficient Image Classification via Multiple Rank Regression.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

An Adaptive Approach to Learning Optimal Neighborhood Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Learning a subspace for clustering via pattern shrinking.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2012

A general framework for transfer sparse subspace learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2012

Unsupervised maximum margin feature selection via L 2, 1-norm minimization.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2012

2011

Semisupervised Learning Using Negative Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Uncovering Community Structure in Social Networks by Clique Correlation.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Semi-supervised Dimensionality Reduction via Harmonic Functions.

[BibT_eX]

[DOI]

Chenping Hou

Feiping Nie

Yi Wu

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Feature Selection via Joint Embedding Learning and Sparse Regression.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

GM-transfer: Graph-based model for transfer learning.

[BibT_eX]

[DOI]

Shizhun Yang

Chenping Hou

Yi Wu

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Multiple view semi-supervised dimensionality reduction.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

2009

Learning an Orthogonal and Smooth Subspace for Image Classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2009

Stable local dimensionality reduction approaches.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations.

[BibT_eX]

[DOI]

Neural Process. Lett., 2009

Local linear transformation embedding.

[BibT_eX]

[DOI]

Neurocomputing, 2009

Chenping Hou

Timeline

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